no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
1 |
A cascade associative memory model with a hierarchical memory structure
|
Hirahara, Makoto |
|
2000 |
13 |
1 |
p. 41-50 10 p. |
article |
2 |
A learning rule for dynamic recruitment and decorrelation
|
Körding, K.P |
|
2000 |
13 |
1 |
p. 1-9 9 p. |
article |
3 |
Anxiety-like behavior in rats: a computational model
|
Salum, C. |
|
2000 |
13 |
1 |
p. 21-29 9 p. |
article |
4 |
A proposed name for aperiodic brain activity: stochastic chaos
|
Freeman, W.J |
|
2000 |
13 |
1 |
p. 11-13 3 p. |
article |
5 |
Cascade associative memory storing hierarchically correlated patterns with various correlations
|
Hirahara, M |
|
2000 |
13 |
1 |
p. 51-61 11 p. |
article |
6 |
How good are support vector machines?
|
Raudys, Š |
|
2000 |
13 |
1 |
p. 17-19 3 p. |
article |
7 |
Neural net based MRAC for a class of nonlinear plants
|
Ahmed, M.S. |
|
2000 |
13 |
1 |
p. 111-124 14 p. |
article |
8 |
Neural networks are useful tools for drug design
|
Schneider, G |
|
2000 |
13 |
1 |
p. 15-16 2 p. |
article |
9 |
On impulsive autoassociative neural networks
|
Guan, Zhi-Hong |
|
2000 |
13 |
1 |
p. 63-69 7 p. |
article |
10 |
Our Millennium Issue!
|
Grossberg, Stephen |
|
2000 |
13 |
1 |
p. xi- 1 p. |
article |
11 |
Partially pre-calculated weights for the backpropagation learning regime and high accuracy function mapping using continuous input RAM-based sigma–pi nets
|
Neville, R.S. |
|
2000 |
13 |
1 |
p. 91-110 20 p. |
article |
12 |
Pattern segmentation in a binary/analog world: unsupervised learning versus memory storing
|
Lourenço, C |
|
2000 |
13 |
1 |
p. 71-89 19 p. |
article |
13 |
Reinforcement Learning: An Introduction; R.S. Sutton, A.G. Barto (Eds.); MIT Press, Cambridge, MA, 1998, 380 pages, ISBN 0-262-19398-1, $42.00
|
Rao, R.P.N |
|
2000 |
13 |
1 |
p. 133-135 3 p. |
article |
14 |
Self-organization of orientation maps in a formal neuron model using a cluster learning rule
|
Kuroiwa, J. |
|
2000 |
13 |
1 |
p. 31-40 10 p. |
article |
15 |
Training neural networks to be insensitive to weight random variations
|
Conti, M. |
|
2000 |
13 |
1 |
p. 125-132 8 p. |
article |